AI/ML Engineer

Remote • Posted 1 hour ago • Updated 1 hour ago
Contract W2
12 Months
No Travel Required
Remote
$70 - $80/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Experience withAI/ML and LLMs(OpenAI
  • Vertex AI
  • or similar)Hands-on experience withRAG (Retrieval-Augmented Generation)Strong experience with Google Cloud Platform(BigQuery
  • Dataflow
  • Vertex AI preferred)Experience withAI orchestration tools(LangChain
  • LlamaIndex
  • or similar)Proficiency inPython(preferred) or backend developmentExperience with APIs and integrating AI into applications

Summary

Role: AI/ML / LLM Engineer
12 months to start
Location: Remote

Need 13+ years of experience 

We are looking for a hands-on AI / LLM Engineer to help design and build practical AI-driven solutions within an existing Google Cloud Platform environment. This role will focus on developing real-world use cases using LLMs, RAG architectures, and agentic workflows to enhance internal tools, automation, and data-driven applications.
Must Haves:

  • Experience with AI/ML and LLMs (OpenAI, Vertex AI, or similar)
  • Hands-on experience with RAG (Retrieval-Augmented Generation)
  • Strong experience with Google Cloud Platform (BigQuery, Dataflow, Vertex AI preferred)
  • Experience with AI orchestration tools (LangChain, LlamaIndex, or similar)
  • Proficiency in Python (preferred) or backend development
  • Experience with APIs and integrating AI into applications

 

Nice to Have:

  • Experience building agent-based or multi-step AI workflows
  • Familiarity with vector databases (Pinecone, Weaviate, Vertex AI Vector Search)
  • Background in backend development (Java/Spring Boot)
  • Experience working in data engineering environments

 

Key Responsibilities:

  • Design and build AI/LLM-based solutions, including RAG pipelines
  • Develop and prototype agentic AI workflows for automation and decisioning
  • Integrate LLM solutions with existing Google Cloud Platform data platforms (BigQuery, Dataflow)
  • Work with structured and unstructured data to enable intelligent retrieval and insights
  • Create, test, and optimize prompt engineering strategies
  • Collaborate with backend and data engineering teams to embed AI capabilities into applications

 

Thanks & Regards,

 

Vinay Kumar

Sr. US IT Recruiter

Contact No:

Email:

 

 

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172066
  • Position Id: 9069221
  • Posted 1 hour ago
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SP

Sandeep Papolu

Recruiter @ Avs Solutions Inc
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